Natural Language Understanding

Natural Language Understanding (NLU) focuses on enabling computers to comprehend and interpret human language, aiming to bridge the gap between human communication and machine processing. Current research emphasizes improving the robustness and fairness of large language models (LLMs) across diverse languages and tasks, exploring architectures like encoder-decoder models and leveraging techniques such as contrastive learning, instruction tuning, and knowledge prompting to enhance performance. These advancements are crucial for developing more accurate and reliable applications in various fields, including virtual assistants, question answering systems, and improving accessibility to information across different languages.